{"id":"W2176862435","doi":"10.1080/19187033.2013.11674981","title":"(Dis)Connecting Alberta’S Tar Sands And British Columbia’S North Coast","year":2013,"lang":"en","type":"article","venue":"Studies in Political Economy","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil sands; tar (computing); Political science; Archaeology; Economy; Economic history; Geography; History; Economics; Asphalt","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006433805,0.0002386589,0.0001124422,0.0008269342,0.01463389,0.004898967,0.0008174435,0.002420283,0.0084914],"category_scores_gemma":[0.001520569,0.0002032573,0.0001939618,0.001616514,0.004563342,0.001321544,0.002172408,0.0015656,0.0003727331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03382516,"about_ca_system_score_gemma":0.0685881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9696835,"about_ca_topic_score_gemma":0.9923843,"domain_scores_codex":[0.9992529,0.00006789596,0.00001161228,0.00008337117,0.000187129,0.000397178],"domain_scores_gemma":[0.9993659,0.0001037708,0.00003853703,0.00002717535,0.0002504962,0.0002141294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002631808,0.000121152,0.08413556,0.000318732,0.00004553498,0.009051124,0.08050061,0.004829849,0.006861445,0.4249885,0.2194636,0.1694208],"study_design_scores_gemma":[0.00003952976,0.00007270608,0.0777136,0.0002204074,0.00004656687,0.0004317063,0.1706697,0.001477642,0.002471193,0.01549012,0.7312708,0.00009598631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4270538,0.00135317,0.005347027,0.04345307,0.0004173944,0.0002654077,0.0004783784,0.0001639672,0.5214677],"genre_scores_gemma":[0.8794563,0.0005993273,0.003365362,0.003488712,0.00001923845,0.00006726909,0.0002382866,0.00002520934,0.1127403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03382516,"threshold_uncertainty_score":0.2454199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329356027985176,"score_gpt":0.2900038024198615,"score_spread":0.2667102421400098,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}